Alternatives and similar repositories for auton-survival

Users that are interested in auton-survival are comparing it to the libraries listed below

• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆92Updated last year
• havakv / pycox
  Survival analysis with PyTorch
  ☆921Updated 11 months ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆361Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆208Updated 6 months ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆56Updated last year
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆28Updated 2 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆272Updated this week
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated 10 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆81Updated 4 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆133Updated 2 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆60Updated 9 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆386Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆645Updated 4 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆148Updated 2 weeks ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆278Updated 2 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆154Updated 4 months ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆40Updated last year
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆218Updated 2 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• hrossman / pymsm
  ☆52Updated 2 years ago
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆119Updated last year
• lasso-net / lassonet
  Feature selection in neural networks
  ☆240Updated 11 months ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,218Updated last week
• vanderschaarlab / mlforhealthlabpub
  Machine Learning and Artificial Intelligence for Medicine.
  ☆455Updated 2 years ago
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆37Updated last week